Hi, I am Dhanikesh Karunanithi

I help enterprises and EdTech teams turn AI into measurable learning outcomes — from boardroom strategy to production platforms.

Global Head of Learning Technology, Practice & Data Strategy at Foundever · Founder of Sudar & ByteVerse

Enterprise digital transformation · AI consultation · AI-enabled education at 150K+ scale

Award-winning client implementations across 50+ countries

See case studies → · Explore open-source AI →

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Strategic Focus

AI & Digital Transformation

AI Consultation & Advisory

AI-Enabled Education & Workforce Upskilling

Enterprise Learning Platform Strategy

Learning Data, Governance & ROI

I operate at two levels: inside Foundever I define global learning technology and data strategy for 150K+ employees; outside, I advise executives, L&D leaders, and EdTech founders on AI transformation roadmaps, responsible deployment, and platform economics. My open-source work (Sudar, ByteVerse) keeps strategy grounded in what actually ships — not slideware. Leadership story → · Book a conversation →

Proof at Scale

Multi-Million product revenue · over a half a million in savings through automation and AI-powered workflows · over a hundred client deployments

2× Gold Stevie (2024) · Brandon Hall Gold & Silver (2022)

First enterprise AI onboarding pilot · global AI literacy programme for L&D

Explore Further

Enterprise case studies

Spark LXP · AI onboarding · global data strategy

Open-source AI for education

Sudar learning OS · ByteVerse microlearning · LAMP research

Full career timeline & credentials →

Advisory & Partnership

For Recruiters & Boards

Global learning technology leadership · P&L ownership · multi-region teams

For Investors & Founders

EdTech product strategy · open-source moats · enterprise GTM for AI learning

For Enterprises

AI transformation assessments, LXP/LMS modernisation, AI literacy programmes, learning data lakes, and vendor selection — from discovery workshops through pilot design and executive KPI frameworks. Typical engagements: AI readiness for L&D, digital transformation roadmaps, and production AI pilots with measurable proficiency and retention outcomes.